Job Summary
The position involves designing, constructing, and enhancing machine learning models aimed at addressing significant challenges in the realm of large-scale, real-time digital performance analytics. The role requires collaboration with interdisciplinary engineering and product teams to effectively implement these models within production environments.
Responsibilities
- Develop and refine machine learning models to tackle complex real-world challenges.
- Optimize solutions for enhanced performance in digital analytics.
- Work closely with cross-functional teams to ensure seamless integration of models into existing systems.
- Conduct thorough testing and validation of machine learning solutions to guarantee reliability and effectiveness.
Qualifications
- A PhD in Computer Science or Statistics, or a Master’s degree with a minimum of 3 years of practical experience in applied machine learning.
- Strong understanding of traditional machine learning techniques, deep learning methodologies, and statistical modeling principles.
- Proficient in Python programming language.
Conviva provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
